AI Sampling Singapore

Is it possible to sample at scale and at high-resolution every single building ever built in a country? If so, can such a dataset be used to train an AI model in generating new yet locally compliant buildings without any explicit regulatory control inputs? The project explores the design agency of deep generative neural networks in learning architectural notions of three-dimensional exteriority and interiority with a redesigned 3D generative adversarial network (3D-GAN) architecture trained with a large dataset of 3D digital models of high-rise buildings found in Singapore. The work has won several design awards (e.g., WAFX, BLT and IDA).